Author

David Anton

Observed name: Anton, David

Institutions: Institute of Applied Mechanics, Technische Universität Braunschweig

Observed institutions: Institute of Applied Mechanics, Technische Universität Braunschweig

ORCID: 0000-0002-0888-0220

Observed ORCID: 0000-0002-0888-0220

OpenAlex ID: A5103109772

Reduced and All-At-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics

2024 · Ulrich Römer, Stefan Hartmann, et al. · Applied Mechanics Reviews · 52

Physics-Informed Neural Networks for Material Model Calibration from Full-Field Displacement Data

2022 · Anton, David, Wessels, Henning · arXiv (Cornell University) · 30

Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks

2025 · David Anton, Jendrik-Alexander Tröger, et al. · Advanced Modeling and Simulation in Engineering Sciences · 17

Neuartige Konzepte für die Zustandsüberwachung und -analyse von Brückenbauwerken – Einblicke in das Forschungsvorhaben SPP100+/Novel Concepts for the Condition Monitoring and Analysis of Bridge Structures – Insights into the SPP100+ Research Project

2024 · Henrik Becks, Lukas Lippold, et al. · Bauingenieur · 16

Automated constitutive model discovery by pairing sparse regression algorithms with model selection criteria

2025 · Jorge–Humberto Urrea–Quintero, David Anton, et al. · Computer Methods in Applied Mechanics and Engineering · 14

Uncertainty quantification in model discovery by distilling interpretable material constitutive models from Gaussian process posteriors

2026 · David Anton, Henning Wessels, et al. · Computer Methods in Applied Mechanics and Engineering · 3

Unsupervised Constitutive Model Discovery from Sparse and Noisy Data

2026 · Technische Universität Braunschweig (TU), Andrea Morini, et al. · e-Journal of Nondestructive Testing

Uncertainty quantification in constitutive model calibration and discovery in computational solid mechanics

2026 · Anton, David · Digitale Bibliothek Braunschweig (Verbundzentrale Göttingen (VZG))

Analysis of trade-offs in urban heat mitigation using a Bayesian Optimization framework for an urban canopy layer model

2026 · Rebekka Walter, Johanna Gelhaus, et al. · SSRN Electronic Journal

PI-GEFN: A Physics-Informed Graph Edge Filter Network inspired by finite element formulation

2025 · Potnis, Atharva, Anton, David, et al. · GAMM Archive for Students

Parametric Neural Networks as Full-Field Surrogates for Material Model Calibration

2024 · Technische Universität Braunschweig (TU), Ganesh Shivalingappa, et al. · e-Journal of Nondestructive Testing

Works count: 17

Citation count: 139

H-index: 5

I10-index: 5